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Abstract: Unsupervised change detection (CD) algorithms typically identify changed areas by comparing pixels or ground objects in co-registered bi-temporal images. However, due to small viewpoint ...

The ride-hailing giant’s background check process was intended to speed drivers onto its network while keeping costs down, ...

Abstract: Currently, convolutional neural networks and transformers have been the dominant paradigms for change detection (CD) thanks to their powerful local and global feature extraction capabilities ...